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Numerical Optimal Control of Hybrid Electric Trucks: Exhaust Temperature, NOx Emission and Fuel Consumption
Linköpings universitet, Institutionen för systemteknik, Fordonssystem.
Linköpings universitet, Institutionen för systemteknik, Fordonssystem.
2018 (engelsk)Independent thesis Advanced level (degree of Master (Two Years)), 20 poäng / 30 hpOppgave
Abstract [en]

The controls for a parallel hybrid electric truck are optimized using numerical optimal control. Trade-offs between catalyst light-off times, NOx emission and fuel consumption have been investigated for cold starts at two operating points, as well as temperature differences between conventional and hybrid powertrains during WHTC (World Harmonized Transient Cycle). A model describing the temperature dynamics of the aftertreatment system is implemented as well as temperature-based deNOx performance for both Cu-Zeolite and Fe-Zeolite catalysts. Control is performed in a piecewise linear fashion, resulting in a total of 23 states including control signals. It is shown that high temperatures can be a larger threat to catalyst performance when running the WHTC than low temperatures, for both conventional and hybrid powertrains. Furthermore, decreasing the light-off time of the catalyst does not always lead to decreased NOx emission, instead there is a trade-off between light-off time and NOx emission. It is found that there are controls that will realize decreased NOx emission for a hybrid truck during cold starts at the expense of increased fuel consumption.

sted, utgiver, år, opplag, sider
2018. , s. 82
Emneord [en]
Numerical optimal control, HEV, Diesel electric hybrid truck, Exhaust temperature, Emissions, NOx, SCR
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-148680ISRN: LiTH-ISY-EX--18/5137--SEOAI: oai:DiVA.org:liu-148680DiVA, id: diva2:1219419
Eksternt samarbeid
Scania AB
Fag / kurs
Vehicular Systems
Veileder
Examiner
Tilgjengelig fra: 2018-06-18 Laget: 2018-06-15 Sist oppdatert: 2018-06-18bibliografisk kontrollert

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